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» Evaluation of Query Performance Prediction Methods by Range
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KDD
2009
ACM
364views Data Mining» more  KDD 2009»
16 years 5 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
157
Voted
IPTPS
2005
Springer
15 years 10 months ago
Clustering in P2P Exchanges and Consequences on Performances
— We propose here an analysis of a rich dataset which gives an exhaustive and dynamic view of the exchanges processed in a running eDonkey system. We focus on correlation in term...
Stevens Le-Blond, Jean-Loup Guillaume, Matthieu La...
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
15 years 6 months ago
A Probabilistic Framework to Learn from Multiple Annotators with Time-Varying Accuracy
This paper addresses the challenging problem of learning from multiple annotators whose labeling accuracy (reliability) differs and varies over time. We propose a framework based ...
Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
ATAL
2010
Springer
15 years 5 months ago
Combining statistics and arguments to compute trust
We propose a method for constructing Dempster-Shafer belief functions modeling the trust of a given agent (the evaluator) in another (the target) by combining statistical informat...
Paul-Amaury Matt, Maxime Morge, Francesca Toni
163
Voted
ICDE
2007
IEEE
174views Database» more  ICDE 2007»
15 years 11 months ago
Adapting Partitioned Continuous Query Processing in Distributed Systems
Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
Yali Zhu, Elke A. Rundensteiner